| Description |
1 online resource (xvii, 534 pages) : illustrations |
| Series |
Methodology in the social sciences |
|
Methodology in the social sciences.
|
| Contents |
Part I. Concepts and tools -- Coming of age -- Regression fundamentals -- Significance testing and bootstrapping -- Data preparation and psychometrics review -- Computer tools -- Part II. Specification and identification -- Specification of observed variable (path) models -- Identification of observed-variable (path) models -- Graph theory and the structural causal model -- Specification and identification of confirmatory factor analysis models -- Specification and identification of structural regression models -- Part III. Analysis -- Estimation and local fit testing -- Global fit testing -- Analysis of confirmatory factor analysis models -- Analysis of structural regression models -- Part IV. Advanced techniques and best practices -- Mean structures and latent growth models -- Multiple-samples analysis and measurement invariance -- Interaction effects and multilevel structural equation modeling -- Best practices in structural equation modeling |
| Summary |
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results |
| Bibliography |
Includes bibliographical references and indexes |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed October 12, 2015) |
| Subject |
Structural equation modeling.
|
|
Social sciences -- Statistical methods -- Data processing
|
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Multivariate analysis.
|
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Models, Statistical
|
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Multivariate Analysis
|
|
Social Sciences -- methods
|
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Social Sciences -- statistics & numerical data
|
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MATHEMATICS -- Applied.
|
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MATHEMATICS -- Probability & Statistics -- General.
|
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Social sciences -- Statistical methods -- Data processing
|
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Structural equation modeling
|
| Form |
Electronic book
|
| ISBN |
9781462523368 |
|
1462523366 |
|
